Daniel Cremers obtained a PhD in Computer Science from the University of Mannheim, Germany. Subsequently, he spent two years as a postdoctoral researcher at UCLA and one year as a permanent researcher at Siemens Corporate Research in Princeton, NJ. From 2005 until 2009 he was an associate professor at the University of Bonn, Germany. Since 2009 he holds the chair for Computer Vision and Pattern Recognition at the Technical University, Munich. His publications received numerous awards, most recently the SGP 2016 Best Paper Award and the CVPR 2016 Best Paper Honorable Mention. Prof. Cremers received three ERC Grants and the Gottfried-Wilhelm Leibniz Award 2016. He is the co-founder of several companies, in particular of Artisense Corporation, a high-tech startup focused on technologies for self-driving cars.
Talk: Computer Vision for Autonomous Driving
Abstract: Over the last years, the field of Computer Vision has matured from a fairly small niche area in computer science to one of the hottest topics driving technological development today. In my presentation, I will sketch a number of recent developments in computer vision and in particular in 3D reconstruction from moving cameras. These methods for Simultaneous Localization and Mapping (SLAM) can accurately localize the camera and recover the observed 3D world. They will form a central building block of future self-driving cars.